⚠️ Overview

botnet is an open-source Python-based framework for creating and managing botnets, originally developed by GitHub user “maestron” and later forked by multiple contributors. Intended for educational and research purposes, it allows an operator to command compromised machines (bots) via a central C2 (command-and-control) server, executing tasks such as DDoS attacks, file exfiltration, and remote shell access. The project’s repository on GitHub (https://github.com/maestron/botnet) explicitly warns against illegal use, yet its code is widely reused in actual malicious botnet campaigns due to its simplicity and modular design.

🔧 Technical Capabilities

This botnet tool uses a client-server architecture where the C2 server communicates with bots over TCP or HTTP, often employing simple encryption like XOR to obfuscate traffic. Bots can be deployed as Python scripts or compiled executables, and they support modules for UDP flood, SYN flood, ICMP flood, and HTTP GET/POST flood DDoS attacks. Additionally, it includes a file manager to upload/download files, a keylogger module to capture keystrokes, and a reverse shell that grants interactive command execution on infected hosts. The framework also features a simple persistence mechanism that adds itself to startup registries on Windows systems. According to its documentation, the C2 server tracks connected bots via unique IDs and can issue broadcast or targeted commands. However, it lacks advanced evasion like anti-debugging or polymorphic code, making it detectable by modern endpoint protection.

📜 History & Notable Incidents

First published on GitHub around 2015, the botnet framework gained popularity among script kiddies and entry-level threat actors. While no major CVEs are directly associated with this particular codebase, its derivatives have been observed in small-scale DDoS campaigns targeting gaming servers and educational institutions. In 2018, a variant named “PyBot” (based on this framework) was used to compromise IoT devices via default credentials, leading to a temporary takedown of a university network in Brazil. Security researchers at Palo Alto Networks documented a spike in scans for default SSH credentials linked to Python-based botnets in 2020, attributing some to forks of this project. The tool’s simplicity means it is often bundled with other malware as a secondary payload.

🔍 Detection Indicators

Network traffic from this botnet typically shows periodic beaconing to a fixed IP or domain on non-standard ports (e.g., 4444, 8080, 9999). The beacon payload often contains a simple XOR-encrypted string followed by a bot ID. On infected hosts, the process name is commonly “python.exe” or a disguised executable, and files may be dropped in temporary directories with names like “bot.py” or “client.py”. The tool’s default User-Agent for HTTP-based C2 is “Python-urllib/3.x”, but operators frequently modify it. Behavioral fingerprints include high outbound UDP traffic during attack phases and repeated connection attempts to port 22 (SSH) for spreading.

☠️ Risk & Impact

When deployed, this botnet can turn vulnerable machines into part of a distributed attack network, enabling the operator to launch volumetric DDoS attacks that can saturate internet links and cause service outages. The keylogging and file exfiltration modules pose a direct threat to sensitive data, including credentials and personal documents. Additionally, the reverse shell gives attackers full control over the infected host, allowing lateral movement within a network and potential ransomware deployment.

🛡️ Mitigation

This bot is blocked immediately on detection because its known malicious behavior—DDoS, credential theft, and remote access—poses an unacceptable risk to network integrity. It is recommended to deny outbound connections on non-standard ports from client machines, enforce application whitelisting to block unauthorized Python scripts, and deploy network intrusion detection signatures for common botnet C2 patterns described above.

ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.